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  1. Home
  2. Salesforce Certification
  3. MuleSoft-Integration-Architect-I Exam
  4. Salesforce.MuleSoft-Integration-Architect-I.v2026-03-30.q190 Dumps
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Question 41

An organization is designing multiple new applications to run on CloudHub in a single Anypoint VPC and that must share data using a common persistent Anypoint object store V2 (OSv2).
Which design gives these mule applications access to the same object store instance?

Correct Answer: A
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Question 42

A project team is working on an API implementation using the RAML definition as a starting point. The team has updated the definition to include new operations and has published a new version to exchange. Meanwhile another team is working on a mule application consuming the same API implementation.
During the development what has to be performed by the mule application team to take advantage of the newly added operations?

Correct Answer: C
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Question 43

A banking company is developing a new set of APIs for its online business. One of the critical API's is a master lookup API which is a system API. This master lookup API uses persistent object store. This API will be used by all other APIs to provide master lookup data.

Master lookup API is deployed on two cloudhub workers of 0.1 vCore each because there is a lot of master data to be cached. Master lookup data is stored as a key value pair. The cache gets refreshed if they key is not found in the cache.
Doing performance testing it was observed that the Master lookup API has a higher response time due to database queries execution to fetch the master lookup data.
Due to this performance issue, go-live of the online business is on hold which could cause potential financial loss to Bank.
As an integration architect, which of the below option you would suggest to resolve performance issue?

Correct Answer: A
A). Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store Comprehensive Detailed Step by Step Explanation To resolve the performance issue observed during the performance testing of the Master lookup API, the best approach involves caching and synchronization:
* HTTP Caching Policy:
* Purpose: Reduces the load on the database by caching the responses for GET requests. Once a response is cached, subsequent requests for the same resource can be served from the cache instead of querying the database.
* Implementation: Apply the HTTP caching policy to all GET endpoints of the Master lookup API.
This policy ensures that the frequently accessed master lookup data is stored in the cache and served quickly.
* Benefits: This significantly reduces the number of database queries, thus lowering the response time and improving performance.
* Object Store Locking:
* Purpose: Ensures data consistency and prevents race conditions when multiple workers attempt to access or update the cache concurrently.
* Implementation: Use a locking mechanism to synchronize access to the object store. This can be achieved by using MuleSoft's Object Store Connector with lock/unlock operations.
* Benefits: Prevents multiple database queries for the same key and ensures that only one worker updates the cache at a time, thus avoiding redundant operations and maintaining data integrity.
By implementing these two strategies, the response time of the Master lookup API will be significantly improved, and the performance issue will be resolved.
References
* MuleSoft HTTP Caching Policy
* MuleSoft Object Store Connector
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Question 44

Which Exchange asset type represents configuration modules that extend the functionality of an API and enforce capabilities such as security?

Correct Answer: A
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Question 45

A manufacturing company is developing a new set of APIs for its retail business. One of the APIs is a Master Look Up API, which is a System API, The API uses a persistent object-store. This API will be used by almost all other APIs to provide master lookup data.
The Master Look Up API is deployed on two CloudHub workers of 0.1 vCore each because there is a lot of master data to be cached. Most of the master lookup data is stored as a key-value pair. The cache gets refreshed if the key is not found in the cache.
During performance testing, it was determined that the Master Look Up API has a high response time due to the latency of database queries executed to fetch the master lookup data.
What two methods can be used to resolve these performance issues?
Choose 2 answers

Correct Answer: A,D
AnTo resolve performance issues with the Master Look Up API, the following methods can be applied:
* Implement the HTTP caching policy for all GET endpoints for the Master Look Up API: This caching policy helps reduce the number of database queries by storing frequently accessed data in cache, thus improving response times for subsequent requests.
* Upgrade the vCore size from 0.1 vCore to 0.2 vCore: Increasing the vCore size can provide more computational resources, which can improve the processing power and overall performance of the API, particularly under high load conditions.
References:
HTTP Caching Policy
Scaling and Performance
swer: A
insert code
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